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I need to compute the Gini coefficient on some population data arranged in income brackets: for example$0->$1000 : 10000 people$1000->$10000: 50000 peopleMy problem is that the last bracket is...
Asked on 12/21/2021 by Warwick Masson
3 answerIn SVM, the Gaussian kernel is defined as:$$K(x,y)=expleft({-frac{|x-y|_2^2}{2sigma^2}}right)=phi(x)^Tphi(y)$$ where $x, yin mathbb{R^n}$.I do not know the explicit equation of $phi$. I want to know it. I also want...
Asked on 12/21/2021
4 answerI'm taking an introductory statistics course. At first, the textbook talks about real limits in the context of continuous variables and frequency distribution table, that is all clear. But on...
Asked on 12/21/2021 by Gintas_
1 answerthe importance has two variables %IncMSE and IncNodePurity, my results for these two are totally different...I'm predicting a player's value, and want to know which attributes are more important for...
Asked on 12/21/2021 by Lucy Zhang
1 answerI have a small dataset of 100 data points and trained a random forest classifier using nested leave-one-out cross-validation. The details go like this:In each trial out of 10:for each...
Asked on 12/21/2021 by Max Lumberjack
2 answerI am trying to understand the basics of how and when is it ok discretize a variable. Below are some papers that support Supervised Discretization: Improving Classification...
Asked on 12/21/2021
0 answerTo my knowledge, established tests such as ANOVA are testing the differences between the "underlying population" of sample groups, implying the sample is a representative of something bigger. However, what...
Asked on 12/21/2021
1 answerI start my question with an example. Assume we are calculating HR associated with biological sex in a Cox proportional hazard model. let's say the ratio is 2. Since it...
Asked on 12/21/2021
1 answerI am a grad student developing an interest for statistics. I like the material over-all, but I sometimes have a hard time thinking about applications to real life. Specifically, my...
Asked on 12/20/2021 by Roark
7 answerI have three attributes in a dataset (D0), representing the binary response of success or failure (R), some form of treatment or treatment group (T), and a potential confounder (C)...
Asked on 12/20/2021 by tohweizhong
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